Automated Object-Based Identification of Dunes at Hargraves Crater, Mars

Terrestrial dune fields are good indicator of past and present aeolian transport regimes of planets like Earth, Mars, and Venus [e.g.,1; and references therein]. Aeolian processes provide insight into the interactions between the atmosphere and the surface of Mars as well as the weather, climate, and climatic evolution along the Martian history [2-3]. A complete catalogue for Martian dune fields, leveled as the Mars Global Digital Dune Database (MGD3 ), contains information about locations and characteristics of dune fields as well as other parameters [4-5]. The MGD3 , done by manual visual photo interpretation from the Thermal Emission Imaging System [THEMIS; 6] of 100 m/pixel images, needs to be updated for a better understanding of surface and atmospheric mechanisms of Mars. This study used an automated object-based image analysis (OBIA) technique from the Context Camera [CTX; 7] image of ~6 m/pixel dataset to extract more quick, reliable, and accurate identification of the dunes at Hargraves crater, Mars. Having many advantages over the pixel-based photo interpretation, OBIA can produce more robust and accurate results in detecting dunes on Mars. The study, indeed, is a test case and if proven reliable then the method can be applied to the entire Martian surface to make a higher resolution dune database, which will be an updated version of existing database. The Hargraves crater is located on the Jezero crater watershed on Mars, centered on 75.750 E and 20.750 N (Fig.1).

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Last Updated September 16, 2021, 16:01 (UTC)
Created September 15, 2021, 19:03 (UTC)